Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.

Johns Hopkins University
Skills you'll gain: Amazon Web Services, Tensorflow, Applied Machine Learning, Machine Learning Methods, Natural Language Processing, Classification Algorithms, Software Design, Application Development, Supervised Learning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: LangChain, LLM Application, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Embeddings, Generative AI, Model Evaluation, Hugging Face, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools
Beginner · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Supervised Learning, Classification Algorithms, Decision Tree Learning, Big Data, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Statistical Analysis, Machine Learning, Algorithms, Bayesian Statistics, Artificial Neural Networks, Model Evaluation
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks

Universiteit Leiden
Skills you'll gain: Predictive Analytics, Predictive Modeling, Model Evaluation, R Programming, Preventative Care, Health Informatics, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Precision Medicine, Supervised Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Linear Algebra, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Model Evaluation, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Databases, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Convolutional Neural Networks
Intermediate · Specialization · 1 - 3 Months

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Artificial Neural Networks, Transfer Learning, Programming Principles, Data Management
Intermediate · Specialization · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Predictive Analytics, Machine Learning, Supervised Learning, Data-Driven Decision-Making, Data Management, Unsupervised Learning, Data Collection, Data Analysis, Nutritional Assessment, Internet Of Things, Artificial Intelligence, Nutrition and Diet, Emerging Technologies, Health Assessment
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Amazon Redshift, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Dimensionality Reduction
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Responsible AI, Prompt Engineering, LLM Application, Large Language Modeling, Generative AI, Generative Model Architectures, Data Ethics, Google Gemini, Artificial Intelligence, AI Security, Prompt Engineering Tools, Business Ethics, AI Product Strategy, Governance, Ethical Standards And Conduct, Risk Analysis, Stakeholder Analysis, Deep Learning, Supervised Learning
Intermediate · Specialization · 1 - 3 Months